Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
13594
Single Precision Score
21447
Half Precision Score
9370
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrZakioPCUK |
| Upload Date | July 12 2025 05:51 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5515
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
9677
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
4198
783.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9993
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13877
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7901
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66169
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
196061
228.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
55546
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
6786
538.3 IPS |
|
|
Object Detection (HP)
|
100% |
11293
895.7 IPS |
|
|
Object Detection (Q)
|
84% |
5199
419.3 IPS |
|
|
Face Detection (SP)
|
100% |
17166
204.0 IPS |
|
|
Face Detection (HP)
|
100% |
27045
321.4 IPS |
|
|
Face Detection (Q)
|
97% |
13512
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33176
255.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
61508
473.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
21693
173.7 IPS |
|
|
Style Transfer (SP)
|
100% |
107656
138.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258857
332.8 IPS |
|
|
Style Transfer (Q)
|
98% |
89112
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22018
813.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32837
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13765
509.7 IPS |
|
|
Text Classification (SP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (HP)
|
99% |
2772
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1384
26.0 IPS |
